A multivariate model for evaluating emergency medicine journals

Cano, Antonio Fernández; Fernández-Guerrero, Inés María

doi:10.1007/s11192-016-2197-6

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…The relation between university prestige and social media impact has been scarcely studied because academic rankings based on social media are at an incipient stage. To date, they have been applied to journals (Thoma et al 2015;Fernandez-Cano and Fernández-Guerrero 2017) and universities (Holmberg 2015), but there currently exists no ranking based on the impact of online videos.…”

Section: University Rankingsmentioning

confidence: 99%

Online video impact of world class universities

et al. 2018

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YouTube has become the standard social network for the dissemination of university multimedia content, but the impact of academic online videos has been scarcely researched. This study covers this gap and provides a new dimension to evaluate university performance. Data and statistics of 416 YouTube accounts and ca. 190,000 online videos of world class universities are gathered. The H-index is adapted to quantify the online video impact, universities are ranked accordingly and the correlates of impact are analyzed. The H-based ranking of online video impact is closely related to standard rankings of world class universities, with a stronger relation than that with other online video related metrics. Research productivity and online video orientation of a university are robustly related to online video impact, whereas teaching, university size and geographical location are not.

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Section: University Rankingsmentioning

confidence: 99%

Online video impact of world class universities

et al. 2018

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Linking YouTube and university rankings: Research performance as predictor of online video impact

Meseguer-Martínez

Ros-Gálvez

Rosa‐García

2019

Telematics and Informatics

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Toward the consolidation of a multi-metric-based journal ranking and categorization system for computer science subject areas

Hameed,

Omar,

Bilal

et al. 2023

EPI

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The evaluation of scientific journals poses challenges owing to the existence of various impact measures. This is because journal ranking is a multidimensional construct that may not be assessed effectively using a single metric such as an impact factor. A few studies have proposed an ensemble of metrics to prevent the bias induced by an individual metric. In this study, a multi-metric journal ranking method based on the standardized average index (SA index) was adopted to develop an extended standardized average index (ESA index). The ESA index utilizes six metrics: the CiteScore, Source Normalized Impact per Paper (SNIP), SCImago Journal Rank (SJR), Hirsh index (H-index), Eigenfactor Score, and Journal Impact Factor from three well-known databases (Scopus, SCImago Journal & Country Rank, and Web of Science). Experiments were conducted in two computer science subject areas: (1) artificial intelligence and (2) computer vision and pattern recognition. Comparing the results of the multi-metric-based journal ranking system with the SA index, it was demonstrated that the multi-metric ESA index exhibited high correlation with all other indicators and significantly outperformed the SA index. To further evaluate the performance of the model and determine the aggregate impact of bibliometric indices with the ESA index, we employed unsupervised machine learning techniques such as clustering coupled with principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE). These techniques were utilized to measure the clustering impact of various bibliometric indicators on both the complete set of bibliometric features and the reduced set of features. Furthermore, the results of the ESA index were compared with those of other ranking systems, including the internationally recognized Scopus, SJR, and HEC Journal Recognition System (HJRS) used in Pakistan. These comparisons demonstrated that the multi-metric-based ESA index can serve as a valuable reference for publishers, journal editors, researchers, policymakers, librarians, and practitioners in journal selection, decision making, and professional assessment.

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A multivariate model for evaluating emergency medicine journals

Cited by 3 publications

References 36 publications

Online video impact of world class universities

Online video impact of world class universities

Linking YouTube and university rankings: Research performance as predictor of online video impact

Toward the consolidation of a multi-metric-based journal ranking and categorization system for computer science subject areas

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